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Discrete Event Simulation Jobs in Arizona (NOW HIRING)

Deep knowledge of sample spaces, conditional probability, Bayes theorem, discrete and continuous ... Adapts instruction using simulations, real-world data experiments, and visual probability models to ...

Deep knowledge of sample spaces, conditional probability, Bayes theorem, discrete and continuous ... Adapts instruction using simulations, real-world data experiments, and visual probability models to ...

Deep knowledge of sample spaces, conditional probability, Bayes theorem, discrete and continuous ... Adapts instruction using simulations, real-world data experiments, and visual probability models to ...

Deep knowledge of sample spaces, conditional probability, Bayes theorem, discrete and continuous ... Adapts instruction using simulations, real-world data experiments, and visual probability models to ...

Deep knowledge of sample spaces, conditional probability, Bayes theorem, discrete and continuous ... Adapts instruction using simulations, real-world data experiments, and visual probability models to ...

Deep knowledge of sample spaces, conditional probability, Bayes theorem, discrete and continuous ... Adapts instruction using simulations, real-world data experiments, and visual probability models to ...

Deep knowledge of sample spaces, conditional probability, Bayes theorem, discrete and continuous ... Adapts instruction using simulations, real-world data experiments, and visual probability models to ...

Deep knowledge of sample spaces, conditional probability, Bayes theorem, discrete and continuous ... Adapts instruction using simulations, real-world data experiments, and visual probability models to ...

Discrete Event Simulation information

See Arizona salary details

$36.3K

$94.4K

$134.2K

How much do discrete event simulation jobs pay per year?

As of May 30, 2026, the average yearly pay for discrete event simulation in Arizona is $94,359.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,200.00 and $120,700.00 per year, depending on experience, location, and employer.

What is a Discrete Event Simulation job?

A Discrete Event Simulation (DES) job involves developing models to simulate complex systems where changes occur at distinct points in time. Professionals in this role use specialized software and mathematical modeling to analyze processes in areas like manufacturing, logistics, healthcare, and defense. Their goal is to identify inefficiencies, optimize performance, and support decision-making by predicting system behaviors under various conditions. The job typically requires expertise in programming, statistics, and system dynamics.

What are the key skills and qualifications needed to thrive in the Discrete Event Simulation position, and why are they important?

To excel in Discrete Event Simulation, candidates typically need a strong background in mathematics, statistics, computer science, and a relevant degree such as industrial engineering or operations research. Familiarity with simulation software like Arena, Simul8, or AnyLogic—as well as programming skills in languages such as Python or C++—is often required, and certifications in simulation or data analytics are advantageous. Strong analytical thinking, effective communication, and attention to detail are valuable soft skills in this field. These competencies enable professionals to develop accurate simulation models, interpret complex data, and effectively communicate findings to stakeholders, ensuring impactful decision support.

What are the common challenges faced by professionals working in Discrete Event Simulation roles?

One of the most common challenges in Discrete Event Simulation roles is accurately modeling complex real-world systems while balancing model detail and computational efficiency. Professionals often need to collect, validate, and process large datasets, requiring both technical acumen and critical thinking. Additionally, communicating simulation results and recommendations to non-technical stakeholders can be demanding but is crucial for implementing process improvements. Collaborative work with cross-functional teams, such as engineers and managers, is common, making strong teamwork and adaptability important assets in this role.

What are the 4 types of simulation?

In discrete event simulation, the four main types are Monte Carlo simulation, system dynamics, agent-based simulation, and process simulation. These types differ in how they model systems, with discrete event simulation focusing on events and state changes over time, often used in operations research and logistics. Understanding these types helps professionals select appropriate tools and techniques for modeling complex systems.
What are the most commonly searched types of Discrete Event Simulation jobs in Arizona? The most popular types of Discrete Event Simulation jobs in Arizona are:
What are popular job titles related to Discrete Event Simulation jobs in Arizona? For Discrete Event Simulation jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Discrete Event Simulation jobs in Arizona look for? The top searched job categories for Discrete Event Simulation jobs in Arizona are:
What cities in Arizona are hiring for Discrete Event Simulation jobs? Cities in Arizona with the most Discrete Event Simulation job openings:
Infographic showing various Discrete Event Simulation job openings in Arizona as of May 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $94,359 per year, or $45.4 per hour.

Quantitative Operations Associate - Volume & Capacity Modeler-Global Operations

Bank of America

Chandler, AZ

Full-time

PTO

Posted 15 days ago


Job description

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:
Responsible for developing quantitative/analytic models and applications in support of the firm's risk management effort. This role focuses on the development of operations/data management policies, strategies and operational guidelines for the organization's various financial products as they relate to the analysis, tracking, and reporting of various risk metrics. This role often possesses an advanced degree in physics, applied mathematics, statistics/probability or another heavy quantitative discipline. Quantitative analytic staff is focused on and responsible for the development of the theory and mathematics behind various models. Individual Contributor and reports to Quant Operations Manager

Job Summary

Global Operations Management Reporting & Analytics is looking for a motivated individual with strong quantitative skills and experience with time-series forecasting, capacity planning, simulation modeling, and/or operations research. This individual will be responsible for developing and maintaining strategic volume forecasting and capacity planning models with the goal of maintaining optimal staffing levels across Global Operations. In addition, the position will assist with efforts to ensure models adhere to Model Risk Management (MRM) standards. The ideal candidate will have a keen eye for detail, a strong sense for modeling complex operational systems, and excellent verbal and written communication skills. Responsibilities include:

  • Develop and maintain volume forecasting, capacity planning, and resource optimization models
  • Help modernize existing volume forecasting and capacity models using advanced predictive modeling, simulation and optimization techniques
  • Assist in driving volume and capacity modeling consistency and innovation across the team
  • Routinely partner with the Front Line Units (FLUs) to generate best in class outcomes
  • Conduct routine model production and performance presentations with executive leadership
  • Evaluate new opportunities and implement enhancements to current capacity model inputs, processes, and outputs
  • Help with documentation and other efforts to adhere to Model Risk Management (MRM) guidelines

Required Skills:

  • Bachelor's degree in Statistics, Applied Economics, Industrial Engineering, Mathematics, Operations Research, Analytics, Finance or other STEM field
  • 2+ years of experience in quantitative roles modeling complex systems
  • Fundamental understanding of linear regression and time-series modeling, discrete event simulation, and optimization techniques, through education or professional experience
  • Proficient in MS Office, particularly Excel
  • Experience with SAS, Python, R, or similar statistical software
  • Experience with Arena or similar discrete event simulation software
  • Experience with SAS OR, GAMS, XPRESS, CPLEX, or similar optimization software
  • Ability to work in a team-oriented environment with strong aptitude for problem solving and collaboration
  • Strong communication and interpersonal skills - specifically the ability to communicate complex ideas in a clear and concise manner to key stakeholders
  • Natural curiosity and drive to answer important business questions
  • High aptitude for self-motivation and self-determined project work in a fast-paced and rapidly changing environment

Desired Skills:

  • Master's degree in Statistics, Applied Economics, Industrial Engineering, Mathematics, Operations Research, Analytics, Finance or other STEM field
  • Prior operational volume forecasting, capacity planning, or financial planning experience
  • Experience with Tableau or other data visualization software
  • Data mining experience using SQL/SAS querying
  • Prior Banking industry analytics and modeling experience, specifically with models that adhere to standards set by a risk management governing body

Skills:

  • Analytical Thinking
  • Business Intelligence
  • Data Modeling
  • Data Visualization
  • Data and Trend Analysis
  • Attention to Detail
  • Collaboration
  • Data Management
  • Data Mining
  • Presentation Skills
  • Consulting
  • Problem Solving
  • Risk Management
  • Stakeholder Management
  • Technical Documentation

Shift:

1st shift (United States of America)

Hours Per Week:

40

Pay Transparency details

US - IL - Chicago - 540 W Madison St - Bank Of America Plaza (IL4540)Pay and benefits informationPay range$84,600.00 - $132,000.00 annualized salary, offers to be determined based on experience, education and skill set.Discretionary incentive eligibleThis role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.BenefitsThis role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.